4 of 4 Experimental Design Jobs in Cambridgeshire

be part of. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians … git, the UNIX command line, R (or python) and unit/pipeline testing frameworks. Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams. General expertise in analyzing and interpreting omics and other biological data sets More ❯

drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery … and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML … models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for More ❯

drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making during experimental design. Provide robust and rigorous statistical analyses of experimental results to aid our drug discovery programs. Translate the results of statistical analyses to non-experts, explaining the methodology, the key assumptions, and the main outcomes of the analysis … and standardisation of workflows for routine biological assays. What we look for A post-graduate degree in statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R for data science and statistics. Experience communicating findings to non More ❯

of architecture & technology development. Represent Arm with high technical credibility in customer meetings, appropriately incorporating feedback. Build high level architecture specifications as required to enable engineering teams to design and verify platforms addressing Client market segments including smartphones, large-screen compute and embedded/home devices. Design experiments and analyses to answer architectural questions, and invent More ❯